Development of an algorithm to identify pregnancy episodes in an integrated health care delivery system.

ABSTRACT:

Objective

To develop and validate a software algorithm to detect pregnancy episodes and maternal morbidities using automated data.

Data sources/study setting

Automated records from a large integrated health care delivery system (IHDS), 1998-2001.

Study design

Through complex linkages of multiple automated information sources, the algorithm estimated pregnancy histories. We evaluated the algorithm's accuracy by comparing selected elements of the pregnancy history obtained by the algorithm with the same elements manually abstracted from medical records by trained research staff.

Data collection/extraction methods

The algorithm searched for potential pregnancy indicators within diagnosis and procedure codes, as well as laboratory tests, pharmacy dispensings, and i

SUBMITTER: Hornbrook MC 

PROVIDER: S-EPMC1955367 | biostudies-literature | 2007 Apr

REPOSITORIES: biostudies-literature